code: def env_fixture_1():
      return Environment(
          train_dataset=get_toy_classification_data(),
          results_path=None,
          metrics=["roc_auc_score"],
          cv_type="StratifiedKFold",
          cv_params=dict(n_splits=5, shuffle=True, random_state=32),
      )
  
file_path: hyperparameter_hunter/tests/conftest.py
imports: from hyperparameter_hunter import settings
  from hyperparameter_hunter.environment import Environment
  from hyperparameter_hunter.utils.learning_utils import get_toy_classification_data
  from os import makedirs
  import pytest
  from shutil import rmtree
label_desc: Use image node_id 4 for calling a global function with example usage: env_fixture_1() and returns: Environment